2016
DOI: 10.1016/j.cnsns.2015.09.006
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Quantifying non-stationarity effects on organization of atmospheric turbulent eddy motion by Benford's law

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Cited by 6 publications
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“…The Benford distribution is an empirical observation that the first significant digits (FSD) from certain sets of naturally occurring data (i.e., with minimal human intervention) follow a discrete logarithmic probability distribution (Figure 1, Table 1). The NBL has been applied in the natural sciences for decades [11][12][13][14][15][16][17][18], with little ecological attention. Potential ecological applications arise from reports the dynamic equilibrium of physical and social systems (defined sensu Thoms et al [19] as long-term balanced fluctuations about short-term constantly changing system conditions) can be well described by the Benford FSD sequence (Table 2 [14][15][16][17][18]).…”
Section: Introductionmentioning
confidence: 99%
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“…The Benford distribution is an empirical observation that the first significant digits (FSD) from certain sets of naturally occurring data (i.e., with minimal human intervention) follow a discrete logarithmic probability distribution (Figure 1, Table 1). The NBL has been applied in the natural sciences for decades [11][12][13][14][15][16][17][18], with little ecological attention. Potential ecological applications arise from reports the dynamic equilibrium of physical and social systems (defined sensu Thoms et al [19] as long-term balanced fluctuations about short-term constantly changing system conditions) can be well described by the Benford FSD sequence (Table 2 [14][15][16][17][18]).…”
Section: Introductionmentioning
confidence: 99%
“…The NBL has been applied in the natural sciences for decades [11][12][13][14][15][16][17][18], with little ecological attention. Potential ecological applications arise from reports the dynamic equilibrium of physical and social systems (defined sensu Thoms et al [19] as long-term balanced fluctuations about short-term constantly changing system conditions) can be well described by the Benford FSD sequence (Table 2 [14][15][16][17][18]). The recursive theme is that interactions of system components that maintain structural stability [20] (i.e., persistence, constancy, resilience) can be represented by the informational distance between two discrete probability distributions, one from a FSD transformation of random measurements on system variables, the second from the regularity of FSD probabilities predicted by the Newcomb-Benford law (see Appendix Figures 1-4).…”
Section: Introductionmentioning
confidence: 99%
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